Triple

T10468139
Position Surface form Disambiguated ID Type / Status
Subject Strange E246855 entity
Predicate hasCastMember P2308 FINISHED
Object Timmy Lang
Timmy Lang is an actor known for appearing in the film "Strange."
E865418 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Timmy Lang | Statement: [Strange, hasCastMember, Timmy Lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timmy Lang
Context triple: [Strange, hasCastMember, Timmy Lang]
  • A. Keith Langford
    Keith Langford is an American former professional basketball guard best known for his standout college career at the University of Kansas and a long, high-scoring career in European leagues.
  • B. Timmy Fields
    Timmy Fields is a musician known for performing with the Celtic-influenced band O'Malley's March.
  • C. Timmy Allen
    Timmy Allen is an American professional basketball player known for his collegiate career at the University of Utah and the University of Texas before turning pro.
  • D. Ryan Brant
    Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
  • E. Adam Tandy
    Adam Tandy is a British television and film producer best known for his work on acclaimed political satire and comedy projects, including collaborations with Armando Iannucci.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Timmy Lang
Triple: [Strange, hasCastMember, Timmy Lang]
Generated description
Timmy Lang is an actor known for appearing in the film "Strange."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timmy Lang
Target entity description: Timmy Lang is an actor known for appearing in the film "Strange."
  • A. Keith Langford
    Keith Langford is an American former professional basketball guard best known for his standout college career at the University of Kansas and a long, high-scoring career in European leagues.
  • B. Timmy Fields
    Timmy Fields is a musician known for performing with the Celtic-influenced band O'Malley's March.
  • C. Timmy Allen
    Timmy Allen is an American professional basketball player known for his collegiate career at the University of Utah and the University of Texas before turning pro.
  • D. Ryan Brant
    Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
  • E. Adam Tandy
    Adam Tandy is a British television and film producer best known for his work on acclaimed political satire and comedy projects, including collaborations with Armando Iannucci.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a2b0d8c88190a1a64bd2bbacabbe completed April 10, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d8a6560ddc81909d540f78a9413b3e completed April 10, 2026, 7:27 a.m.
Created at: April 6, 2026, 12:20 p.m.